A method for estimating a likelihood of a stroke condition of a subject, the method comprising: acquiring clinical measurement data pertaining to said subject, said clinical measurement data including at least one of image data, sound data, movement data, and tactile data; extracting from said clinical measurement data, potential stroke features according to at least one predetermined stroke assessment criterion; comparing said potential stroke features with classified sampled data acquired from a plurality of subjects, each positively diagnosed with at least one stroke condition, defining a positive stroke dataset; and determining, according to said comparing, a probability of a type of said stroke condition, and a probability of a corresponding stroke location of said stroke condition with respect to a brain location of said subject.

In described embodiments, a device and method for diagnosing brain and neurological issues is provided. The device measures the performance of Convergence, Divergence, and binocular tracking capabilities of a subject's eyes, which can be used to determine whether a subject has experienced a brain or other neurological event.

An information processing device (14) extracts a feature value which is an acoustic parameter from audio data. The information processing device (14) generates a spectrogram image of the audio data. The information processing device (14) calculates, on the basis of the feature value and a calculation model, a first score which indicates the extent of a user's psychiatrically-based disorder or neurologically-based disorder, or mental disorder symptom or cognitive dysfunction symptom. The information processing device (14) inputs the spectrogram image to a learned model, and calculates a second score which indicates the extent of the user's psychiatrically-based disorder or neurologically-based disorder, or mental disorder symptom or cognitive dysfunction symptom. The information processing device (14) combines the first score and the second score to calculate a combined score which indicates the extent of the user's psychiatrically-based disorder or neurologically-based disorder, or mental disorder symptom or cognitive dysfunction symptom. The information processing device (14) estimates whether the user has any of the disorders or symptoms according to the combined score.

Systems and methods for predicting problem behavior in individuals with developmental and behavior disabilities. A plurality of sensors are configured to collect multimodal data signals of a subject individual including a wearable upper body motion sensing device with a plurality of inertial measurement units (IMUs). An electronic controller is configured to receive output signals from each of IMUs and to model an upper body position of the subject individual based on the output signals from the IMUs. A trained machine-learning model is then applied by providing an input data set that includes multimodal signal data (e.g., including signal data from at least one IMU) and/or features extracted from the multimodal signal data. The machine-learning model is trained to produce as output an indication of whether a precursor to the problem behavior is detected and, in response to detecting the precursor, a notification (or alarm) is generated.

The disclosed embodiments provide systems and methods for predicting presence of one or more neurological deficits. The system may include a microphone, a camera, one or more memory devices storing instructions, and one or more processors configured to execute the instructions to extract audio information including a period density entropy coefficient and a mel frequency cepstral coefficient from an audio feed received from the microphone. Additionally, the instructions may cause the processor to determine position and depth information of eye movement from a video feed received from the camera and detect features of interest including facial landmarks, spatial orientation of limbs, and positional information of limb movements from the video feed. The one or more processors may further extract the features of interest from the video feed and process the extracted features of interest by aligning the extracted features of interest to a common reference.

A tactile stimulus presentation device includes a stage, a contact member, a drive mechanism, an information setting part, and a control part. The stage includes an opening and an arrangement surface, the arrangement surface on which a body part of a subject is arranged thereon so as to close the opening. The contact member is for giving a tactile stimulus to the subject by being in contact with the body part of the subject arranged on the arrangement surface of the stage through the opening. The drive mechanism is a mechanism for holding the contact member and moving the contact member in a direction substantially parallel to the arrangement surface and in a direction substantially perpendicular to the arrangement surface. The information setting part is configured to set information to be presented by gibing tactile stimulation to the subject by tactile stimulation. The control part is configured to control the drive mechanism to present the information set by the information setting part by giving tactile stimulation to the body part of the subject arranged in abutment on the arrangement surface.

The present invention is directed to a method for determining a paroxysmal slow waves event (PSWE) so as to determine blood-brain barrier dysfunction (BBBD) or increased risk of developing a neurological disease or disorder in a subject.

A device for detection of the tactile sensitivity of a user includes a base frame and a mechanical system joined to the base frame, the mechanical system being movable relative to the base frame and having a resting area for the fingertip of at least one finger of the user. The mechanical system includes a plurality of movable plate-shaped members arranged side by side to each other so that the resting area is defined by the thicknesses of at least part of the upper edges of the plate-shaped members. Each plate-shaped member is connected to an actuator, which can be operated to independently move each plate-shaped member from a minimum height position to a maximum height position, a control unit being further provided, which is adapted to operate the actuators.

A method and system utilize unexpected combinations of cognitive exercises to provide routines performed simultaneously with aerobic exercise to address cognitive impairments. Cognitive exercises comprise specific steps in order to interact with a specific cognitive domain. All stimuli may be aural. Specific combinations of cognitive exercises are created to engage selected brain circuits and are correlated to specific cognitive impairments. The method may remediate selected cognitive impairments and strengthen cognitive abilities. The user responds to instructions for each exercise and performs each exercise in a specific order for a specific duration of time and through a specific number of sets. A processor performs a program comprising the routines and evaluates performance of a user. A program may be customized for an individual user. An individual user's data is processed to evaluate progress. Large libraries of data for multiple users may be processed to provide statistical databases.

A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.